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Gambits are the building blocks of your AI Agents. It is just like Lego.

AI Agent Gambit

This Gambit acts as the reasoning engine that orchestrates prompt configuration settings, LLM options, the Knowledge Base, and tools to process user requests.

Knowledge Gambit

Knowledge Gambits let your AI Agent access and retrieve information directly from your data sources, so it can provide accurate, personalized answers.

Tools

Tools integrations allow your AI Agent to connect with your applications and take action in the real world by integrating with external applications.

Categorizer Gambit

This Gambit analyzes queries, detects intent, and precisely directs responses to match user needs. It figures out what the users want and matches it to the right category.

API Integration Gambit

This Gambit allows users to connect your Agent with their tech-stack for fetching and submitting data in real-time. Add integrations without limitations.

Data Collection Gambit

This Gambit allows users to extract information from conversation inputs. It identifies and collects the defined details, and prompts the user to provide missing details.

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Horizon of possible automations

Information retrieval automation

This path is needed when the AI Agent needs to be trained on your content repositories, like websites, PDFs, etc, for easy, relevant answer retrieval.
You can build this automation flow by connecting an AI Agent Gambit with base LLM models and a prompt to your Knowledge Bases.
A customer support Agent trained on your product documentation (PDFs, help center articles, internal FAQs) that can instantly answer user questions.

Intent-based automation flow

The journey needs branching logic when multiple routes can be taken based on the user's input.
This automation flow can be built in Tars easily using the Categorizer Gambit. It helps you create diverse branches from a single Gambit. The journey is decided based on the user's input.
A banking AI Agent that categorizes user queries into different intents: account inquiries, loan applications, fraud reports, or general support, with each path triggering different workflows.

Multi-step tool use automation

This Agentic process uses multiple tools in a sequence to complete a task. This can be built using an AI Agent Gambit attached to multiple Tools to automate a complete task.
An AI Agent Gambit allows you to integrate multiple tools to automate a complete workflow. The LLM calls each tool when needed in the workflow.
Example: An Agent first crawls and extracts data from a document, then creates a summary along with a relevant graphic to go with it.

Merged automation flow

This journey combines multiple automation types, like multi-step tool use, knowledge retrieval, and branching logic.
It's particularly useful for advanced use cases where an AI Agent needs to take diverse routes based on user intent. One journey may require knowledge retrieval, while another requires tool integration.
Example: An E-commerce AI Agent that first categorizes customer intent, then retrieves product information from knowledge bases, and uses multiple tools (payment processing, inventory checking, shipping APIs) for purchase flows.

Customer experience automation that fits your needs

Build intelligent Conversational AI Agents that truly understand context, sentiment, and intent to deliver natural, human-like interactions.

Improve resolution rate from day one

Answer high-volume support queries with AI Agents trained on your data so that every response is accurate and personalized. Leverage AI Agents that reason, empathize, and take action.

Improve conversion rate by never missing out on leads

Never lose out on customer acquisition opportunities. Tars AI Agents engage visitors instantly, qualify buying intent, and capture leads, so your revenue never slips away at any hour.

AI Agent Templates

Explore AI Agents and tweak them to your needs

Discover a range of Agents like

Citizen Service Agent

Helps citizens report municipal service issues like potholes, graffiti, and missed trash collection by creating official work orders for city crews. It also provides status updates and general information about city services.

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IT Support Agent

Helps employees find guidance on IT issues and provides troubleshooting steps. If the issue is unresolved, it raises a ticket for IT support.

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Hospital Lobby Navigation Agent

Sits at your hospital entrance to help patients find the right specialist and room number based on symptoms, providing step-by-step directions and reducing front desk inquiries.

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Telecom Lead Generation Agent

Educates on plans, services, pricing, and perks, then collects user data and takes the user to a placeholder payment gateway once they have chosen a service.

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Credit Card Recommendation Agent

Educates customers about credit card options through targeted questions about their credit situation and spending habits, then recommends the best-fit product with detailed reward calculations and application guidance.

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Home Services Assistant

Collects customer information and problem details to provide accurate cost estimates for plumbing, electrical, and HVAC services, then creates work orders for expert callbacks.

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“

Very responsive and supportive Team

“

I love how supportive and responsive the team members are. The chatbots are not difficult to build once you have an idea of what you are doing, and this is so based on the backend work Tars has completed. Also, they are flexible to the clients' requests.

Keisha Cameron

Product Manager
Victoria Mutual Group

“

The chatbot implementation has exceeded expectations!

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The implementation has delivered 24/7 customer support and is proving its value by reducing Contact center calls by around 5% in just four months of operation. Beyond enhancing the e-care experience, the chatbot is driving impressive business results, achieving a remarkable 20% month-on-month growth.